IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v445y2021ics0304380021000442.html
   My bibliography  Save this article

Sensitivity of aboveground biomass and species composition to climate change in boreal forests of Northeastern China

Author

Listed:
  • Huang, Chao
  • Liang, Yu
  • He, Hong S.
  • Wu, Mia M.
  • Liu, Bo
  • Ma, Tianxiao

Abstract

Climate change is more pronounced in boreal forests than in other terrestrial ecosystems, and thus aboveground biomass and species composition of boreal forests have already been altered by increasing temperature and precipitation. There are substantial uncertainties in predicting aboveground biomass and species composition of boreal forests in response to climate change since the uncertainty in climate change predictions. This makes it challenging to design forest management strategies for promoting boreal forests to adaption climate change. In this study, we designed a factorial experiment and a model coupling framework to quantify the sensitivity of aboveground biomass and species composition of boreal forests in response to climate change. Our results showed that the uncertainties in temperature and precipitation predictions caused the divergent responses of aboveground biomass and species composition to climate change in the boreal forests of northeastern China. Aboveground biomass of boreal forests is more sensitive to precipitation than temperature. There are divergent responses of tree species to temperature and precipitation over the 21st century. This suggests that it is necessary to quantify and reduce the uncertainty in climate change predictions through statistical analysis methods before applying the predictions from general circulation models (GCMS) to study the effects of climate change on forest ecosystems.

Suggested Citation

  • Huang, Chao & Liang, Yu & He, Hong S. & Wu, Mia M. & Liu, Bo & Ma, Tianxiao, 2021. "Sensitivity of aboveground biomass and species composition to climate change in boreal forests of Northeastern China," Ecological Modelling, Elsevier, vol. 445(C).
  • Handle: RePEc:eee:ecomod:v:445:y:2021:i:c:s0304380021000442
    DOI: 10.1016/j.ecolmodel.2021.109472
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380021000442
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2021.109472?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wu, Mia M. & Liang, Yu & Taubert, Franziska & Huth, Andreas & Zhang, Min & Wang, Xugao, 2023. "Sensitivity of forest composition and productivity to climate change in mixed broadleaved-Korean pine forest of Northeastern China," Ecological Modelling, Elsevier, vol. 483(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:445:y:2021:i:c:s0304380021000442. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.